- Extraction of Pneumonia Cases from Free-Text Intensive Care Unit Reports Meliha Yetisgen-Yildiz, PhD1,3
- Extracting the Meaning of Medical Concept Correlations Meliha Yetisgen-Yildiz
- A new evaluation methodology for literature-based discovery systems Meliha Yetisgen-Yildiz a,*, Wanda Pratt b,c
- Using statistical and knowledge-based approaches for literature-based discovery
- Identifying Patients with Pneumonia from Free-Text Intensive Care Unit Reports Meliha Yetisgen-Yildiz1,3
- Predicting Survival in Patients from In-hospital Resuscitation: Machine Learning
- LitLinker: A System for Searching Potential Discoveries in Biomedical Literature
- UTR mo'f discovery to inves'gate differen'al protein expression in
- Preliminary Experience with Amazon's Mechanical Turk for Annotating Medical Named Entities
- Automatic Identification of Critical Follow-Up Recommendation Sentences in Radiology Reports
- Biomedical Entities i2b2 Concepts
- A new kind of prescription can be filled online, but it does not involve using
- MEBI 591C/598 Data and Text Mining in Biomedical Informatics
- Finding the Meaning of Medical Concept Correlations Meliha Yetisgen-Yildiz, Ph.D.,1
- An Overview of Biomedical Entity Recognition Jeffry Scott
- Evaluation of Literature-based Discovery Systems Meliha Yetisgen-Yildiz
- Using Amazon's Mechanical Turk for Annotating Medical Named Entities Meliha Yetisgen-Yildiz, PhD1
- Secondary Use of EHR Data Temporal Interval Abstrac;ons
- Exploring Predictive Models of ACS Outcomes with a Longitudinal, Multi-institutional Patient Database
